We build AI components inside operational decision systems: interrogating evidence, explaining model drivers, surfacing exceptions and comparing alternatives. Source traceability, evaluation and human approval are part of the design. Chat, RAG, voice interfaces and agents are implementation choices selected for the decision and the people making it.
Chat and voice interfaces let operators question evidence and inspect sources in context. Test retrieval, uncertainty handling and escalation before release.
Agents gather evidence and draft options within defined permissions. Consequential decisions require human approval; missing evidence triggers escalation.
Agents and integrations route approved actions through existing systems, with decision logs, failure handling and audit trails.
RAG and knowledge systems grounded in your internal data with retrieval quality that holds up in production.
Engagements start with a two-week discovery to lock down the use case, data, and success criteria. From there we build in weekly iterations with live demos, ship into your staging environment by week 4 at the latest, and deliver a production system with the documentation, monitoring, and optional ongoing support to keep it running.
8–16 weeks
Typical Duration
Senior-led, weekly demos
Engagement Model
Senior AI consultants
Team
Brisbane + remote
Delivery
In production, with monitoring, with guardrails, with users. Not another demo deck.
We ship with tests, observability, and full technical documentation. The system is supportable long-term, whether you run it yourself or we keep running it with you.
Hallucinations, PII exposure, cost blow-outs, and brand risk are mitigated in the design phase, not patched after go-live.
Most engagements put a working system in front of real users within 6 weeks of kickoff.
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